Kuhnclifford9535

mance, our IPE distance learning experience was valuable. Motivation of medical students as well as females was evident. IPE is a challenging process. The elective approach and using DL can offer solutions. Conducting relevant practical sessions as well as sustainability of this IPE e-learning experience remain key challenges.

Studies conducted in Saudi Arabia assess student's perception towards using the flipped classroom or audience response system (ARS) separately, none integrated the two strategies. This study aims to evaluate pharmacy students at King Saud University - college of pharmacy's perceptions of student engagement and satisfaction with audience response system (ARS), and the flipped classroom techniques.

Two lecture topics were flipped and delivered to female students enrolled in the pharmacy practice lab course at the university. An audience response system was integrated into the flipped classroom. The satisfaction of the students was measured using an online questionnaire. They then rated their satisfaction on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).

Overall, 82.1% of the students stated that the ARS made the class better; 71.64% agreed that taking a course in a flipped classroom was a useful learning experience. Online questionnaire revealed that the ARS fostered stude full benefits reaped from these strategies. Therefore, as per our study's results, modifying the duration of the class to ensure it is not too short to be overwhelming can help instructors utilize these startegies in the best possible manner. Alternatively, a thorough and pre-emptive selection of familiar discussion topics ahead of time would also help in this regard.Joint health is a key contributor to quality of life in patients with hemophilia. However, variables that impact long-term joint outcomes have not been comprehensively defined. A systematic literature search identified publications relating to joint health in patients with hemophilia. https://www.selleckchem.com/products/gs-441524.html Studies clearly show that early, sustained prophylaxis with factor replacements improves long-term joint outcomes. However, a subset of patients appear to develop arthropathy despite maintaining excellent bleeding outcomes, which suggests possible recurrent asymptomatic bleeding into the joints in these patients. Furthermore, limited data are available on how long-acting factor VIII and factor IX replacement therapies could impact long-term joint outcomes. Many variables were identified as potential indicators that a patient may develop hemophilic arthropathy, including genetic mutations, endogenous factor VIII and IX levels, bone health, and physical activity levels. Tools for the diagnosis and monitoring of hemophilic arthropathy are critical to detect early joint damage, so that management can be adjusted accordingly. Imaging techniques, particularly magnetic resonance imaging, can detect synovial changes, a strong predictor for the future development of hemophilic arthropathy. In addition, several biomarkers associated with cartilage and bone formation, vascularization, and angiogenesis could potentially identify the onset and progression of early joint damage. Since the development of hemophilic arthropathy is complex, a comprehensive therapeutic approach is necessary for the effective prevention of arthropathy in patients with hemophilia.[This corrects the article DOI 10.2147/JBM.S163722.].

Previous spectral analysis studies on obstructive sleep apnea (OSA) involved small samples, and the results were inconsistent. We performed a spectral analysis of sleep EEG based on different severities of OSA using the Sleep Heart Health Study data. This study aimed to determine the difference in EEG spectral power during sleep in the non-OSA group and with different severities of OSA in the general population.

The participants (n = 5,804) underwent polysomnography, and they were classified into non-OSA, mild OSA, moderate OSA, and severe OSA groups. The fast Fourier transformation was used to compute the EEG power spectrum for total sleep duration within contiguous 30-second epochs of sleep. The EEG spectral powers of the groups were compared using 4,493 participants after adjusting potential confounding factors that could affect sleep EEG.

The power spectra differed significantly among the groups for all frequency bands (

corr < 0.001). We found that the quantitative EEG spectral powers in the beta and sigma bands of total sleep differed (

corr < 0.001) among the participants in the non-OSA group and with different severities of OSA, controlling for covariates. The beta power was higher and the sigma power was lower in the OSA groups than in the non-OSA group. The beta power decreased in the order of severe OSA, moderate OSA, mild OSA, and non-OSA.

This study suggests that there are differences between the microstructures of PSG-derived sleep EEG of non-OSA participants and those with different severities of OSA.

This study suggests that there are differences between the microstructures of PSG-derived sleep EEG of non-OSA participants and those with different severities of OSA.

Cosmetic products emits Total Volatile Organic Compound (TVOC) and Particulate Matter with an aerodynamic diameter of 10 micrometers (PM

) of different sizes and characteristics with adverse health effects. Despite the increasing need for cosmetic products, related pollutants level of concentration from beauty salon is not well understood in developing countries.

This study aims to assess indoor air pollutant concentrations in the beauty salon and self-reported health problems among the salon workers in Jimma town.

A cross-sectional study design was used on 87 beauty salons from May 13-24, 2019. The concentrations of PM

TVOCs, CO

, room temperature, and relative humidity were measured and triangulated with the survey data collected through measurements and questionnaires. A statistical software package, SPSS v.21, was used to analyze the data. A binary logistic regression was used to analyze categorical data and linear regressions to predict pollutants level and associated health outcomes.

The results show that 93.